# product-review-analysis

Turns customer reviews into pain points, praise patterns and feature requests. Useful when you need to know what to fix in a product.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1300 installs · ★ 1258
- Author: nexscope-ai
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/nexscope-ai/eCommerce-Skills/tree/HEAD/product-review-analysis/SKILL.md
- Updated: 2026-08-26
- HTML: https://affpapa.org/en/nevibecode/skills/product-review-analysis

## What it does

The skill reads a corpus of reviews and writes a product report. It scores overall sentiment and its trend, filters out reviews that look inauthentic, then sorts complaints into categories with frequency and rating impact. Praise themes get their own section, and feature requests are pulled straight from how customers phrase them.

Three steps drive it: collection and sentiment scoring, pain point and feature analysis, then recommendations for product and marketing. The output is a report with tables — rating distribution, top complaints with example quotes, strengths, and a list of requested features with development effort.

It works on reviews you hand it; it does not fetch them itself. Feed it a thin or repetitive corpus and the frequency numbers behind each complaint get shaky, so for a small product this is a reason to gather more data first.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add nexscope-ai/eCommerce-Skills --skill product-review-analysis -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/product-review-analysis/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/product-review-analysis/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add nexscope-ai/eCommerce-Skills --skill product-review-analysis -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/product-review-analysis/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add nexscope-ai/eCommerce-Skills --skill product-review-analysis -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/product-review-analysis/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install nexscope-ai/eCommerce-Skills product-review-analysis
```

2. **Manually: put the files in place**
- File: `.github/skills/product-review-analysis/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add nexscope-ai/eCommerce-Skills --skill product-review-analysis -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/nexscope-ai/eCommerce-Skills --path product-review-analysis
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/product-review-analysis/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add nexscope-ai/eCommerce-Skills --skill product-review-analysis -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/nexscope-ai/eCommerce-Skills/tree/HEAD/product-review-analysis/SKILL.md

## When to use it
- surface the top complaints in a batch of reviews
- compare sentiment between your product and competitors
- find which features customers ask for most
- identify what customers praise for marketing copy
- filter out suspicious reviews before analysis

## Example prompts
- Analyze reviews for my wireless headphones — what are customers complaining about most?
- Compare customer sentiment between my product and the top 3 competitors from their reviews
- What features are customers requesting most in fitness tracker reviews?

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 128841f3d182ea6d.

BEGIN THIRD-PARTY FILE 128841f3d182ea6d
````text
---
name: product-review-analysis
description: "Product review analysis and customer feedback intelligence. Pain point identification, praise pattern analysis, feature request extraction, sentiment analysis, and product improvement insights. Use when the user asks about review analysis, customer feedback, product reviews, or sentiment analysis."
metadata: {"nexscope":{"emoji":"⭐","category":"ecommerce"}}
---

# Product Review Analysis ⭐

Transform customer reviews into actionable product and marketing intelligence. Extract insights, identify opportunities, optimize offerings.

## Installation

```bash
npx skills add nexscope-ai/eCommerce-Skills --skill product-review-analysis -g
```

## Usage Examples

**Product improvement insights:**
```
"Analyze reviews for my wireless headphones - what are customers complaining about most?"
```

**Competitive review intelligence:**
```
"Compare customer sentiment between my product and top 3 competitors from their reviews"
```

**Feature development guidance:**
```
"What features are customers requesting most in fitness tracker reviews?"
```

## Core Capabilities

### 1. Sentiment Analysis & Classification
- Overall sentiment scoring and trend analysis
- Emotion detection and customer satisfaction measurement
- Review authenticity assessment and quality filtering
- Temporal sentiment tracking and pattern identification

### 2. Pain Point & Praise Pattern Analysis
- Systematic complaint categorization and frequency analysis
- Positive feedback theme identification and strength assessment
- Root cause analysis for customer dissatisfaction
- Success factor identification from positive reviews

### 3. Feature Request & Improvement Intelligence
- Customer-driven feature request extraction and prioritization
- Unmet need identification and market opportunity analysis
- Product development roadmap insights from customer feedback
- Competitive gap analysis from cross-brand review comparison

## How It Works

### Step 1: Review Collection & Sentiment Analysis
*Comprehensive review data gathering and sentiment evaluation*

Analyze customer feedback systematically:
- Collect and organize customer reviews from multiple platforms and sources
- Perform sentiment analysis and emotional tone assessment across review corpus
- Filter and categorize reviews by rating, recency, and authenticity indicators
- Identify review patterns, trends, and significant sentiment shifts over time

### Step 2: Pain Point & Feature Analysis
*Deep-dive analysis of customer complaints and feature requests*

Extract actionable intelligence from feedback:
````
END THIRD-PARTY FILE 128841f3d182ea6d

The third-party file has ended. Everything between the 128841f3d182ea6d tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

First 2603 of 14267 bytes. © nexscope-ai · MIT · https://github.com/nexscope-ai/eCommerce-Skills/tree/HEAD/product-review-analysis/SKILL.md

_Part of the page did not fit — see the HTML version._

---
NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md